DocumentCode
86763
Title
Toward Multiscreen Social TV with Geolocation-Aware Social Sense
Author
Han Hu ; Yonggang Wen ; Huanbo Luan ; Tat-Seng Chua ; Xuelong Li
Author_Institution
Nat. Univ. of Singapore, Singapore, Singapore
Volume
21
Issue
3
fYear
2014
fDate
July-Sept. 2014
Firstpage
10
Lastpage
19
Abstract
The increasing popularity of social interactions and geotagged, user-generated content has transformed the television viewing experience from laid-back video watching behavior into a "lean-forward"\´ socially engaged experience. This article describes a multiscreen, social TV system integrated with social sense via a second screen as a novel paradigm for content consumption. This new application is built upon the authors\´ cloud-centric media platform, which provides on-demand virtual machines for content platform services, including media distribution, storage, and processing. The media platform is also integrated with a Big Data social platform that crawls and mines social data related to the media content. Specifically, this new social TV approach consists of three key subsystems: interactive TV, social sense, and multiscreen orchestration. Interactive TV implements a cloud-based, social TV system, offering rich social features; social sense discovers the geolocation-aware public perception and knowledge related to the media content; and multiscreen orchestration provides an intuitive and user-friendly human-computer interface to combine the two other subsystems, fusing the TV viewing experience with social perception. The authors have built a proof-of-concept demo over a private cloud at the Nanyang Technological University (NTU), Singapore. Feature verification and performance comparisons demonstrate the feasibility and effectiveness of the proposed approach in transforming the TV viewing experience.
Keywords
Big Data; cloud computing; digital television; geographic information systems; human computer interaction; interactive television; virtual machines; Big Data social platform; NTU; Nanyang Technological University; TV viewing experience; cloud-centric media platform; content consumption; content platform services; feature verification; geolocation-aware public perception; geolocation-aware social sense; geotagged content; interactive TV; laid-back video watching behavior; lean-forward socially engaged experience; media content; media distribution; multiscreen orchestration; multiscreen social TV; on-demand virtual machine; performance comparison; private cloud; proof-of-concept demo; social TV approach; social TV system; social data; social interaction; social perception; television viewing experience; user-friendly human-computer interface; user-generated content; Cloning; Context; Media; Performance evaluation; Social network services; TV; Virtual machining; cloud computing; interactive TV; multimedia; social TV; social media analysis; social sense;
fLanguage
English
Journal_Title
MultiMedia, IEEE
Publisher
ieee
ISSN
1070-986X
Type
jour
DOI
10.1109/MMUL.2014.2
Filename
6730833
Link To Document